Triple
T10333983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmisano Park |
E242948
|
entity |
| Predicate | isReclaimedFrom |
P93744
|
FINISHED |
| Object | former quarry |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: former quarry | Statement: [Palmisano Park, isReclaimedFrom, former quarry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isReclaimedFrom Context triple: [Palmisano Park, isReclaimedFrom, former quarry]
-
A.
hasReclamationHistory
Indicates that an entity has a documented record of land or resource reclamation activities associated with it.
-
B.
wasDestroyedOrTransformed
Indicates that an entity ceased to exist in its original form due to being either destroyed or fundamentally transformed.
-
C.
canBeRecycled
Indicates that an item or material is suitable for processing so it can be reused or converted into new products instead of being discarded as waste.
-
D.
notReusedFor
Indicates that something is not used again for a subsequent purpose, context, or instance.
-
E.
reusedIn
Indicates that something previously used in one context or instance is used again in another context or instance.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:53 a.m.